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A new understanding of the notion of regularizer is proposed. It is argued that this new notion is more realistic than the old one and better fits the practical computational needs. An example of the regularizer in the new sense is given. A…

Numerical Analysis · Mathematics 2025-10-20 A. G. Ramm

The world has seen the emergence of machines based on pretrained models, transformers, also known as generative artificial intelligences for their ability to produce various types of content, including text, images, audio, and synthetic…

Artificial Intelligence · Computer Science 2024-10-10 Bernardo Gonçalves

This paper examines some methods and ideas underlying the author's successful probabilistic learning systems(PLS), which have proven uniquely effective and efficient in generalization learning or induction. While the emerging principles are…

Artificial Intelligence · Computer Science 2013-04-15 Larry Rendell

General considerations on the Equivalence conjectures and a review of few mathematical results.

Statistical Mechanics · Physics 2022-11-08 Giovanni Gallavotti

Like students facing hard exam questions, large language models sometimes guess when uncertain, producing plausible yet incorrect statements instead of admitting uncertainty. Such "hallucinations" persist even in state-of-the-art systems…

Computation and Language · Computer Science 2025-09-08 Adam Tauman Kalai , Ofir Nachum , Santosh S. Vempala , Edwin Zhang

This paper is based on lectures presented to mathematical physicists and attempts to provide an overview of the present status of the Standard Model, its experimental tests, phenomenological and experimental motivations for going beyond the…

High Energy Physics - Theory · Physics 2009-09-25 John Ellis

In this lecture I will review some recent progress in improving the accuracy of the calculation of density perturbations resulting from inflation.

Astrophysics · Physics 2007-05-23 Edward W. Kolb

We compare the values associated with (traditional) community based proof verification to those associated with computer proof verification. We propose ways that computer proofs might incorporate successful strategies from human…

Logic in Computer Science · Computer Science 2023-05-05 Andrew Granville

Including real-time data collection technology is a common practice to upgrade physics labs, and the assumption is such technology improves student learning, yet little has been done to demonstrate the effects of technology. Specific…

Physics Education · Physics 2007-09-19 Eric Brewe , Vashti Sawtelle , Priscilla Pamela

A brief summary of recent developments in mathematical diffraction theory is given. Particular emphasis is placed on systems with aperiodic order and continuous spectral components. We restrict ourselves to some key results and refer to the…

Mathematical Physics · Physics 2014-09-08 Uwe Grimm , Michael Baake

In this paper, a detrimental mathematical mistake is pointed out in the proof of \textit{Theorem 1} presented in the paper\textit{ [Generalization of the gradient method with fractional order gradient direction, J. Franklin Inst., 357…

Optimization and Control · Mathematics 2020-09-14 Abdul Wahab , Shujaat Khan

Access to quality education remains a global challenge, particularly in crisis-affected regions. This study examines the decline in students' mathematical proficiency and proposes an innovative Moodle-based testing system that incorporates…

History and Overview · Mathematics 2026-04-22 I. V. Orlovskyi , O. A. Tymoshenko

This is a 1-page comment on a wrong paper that recently appeared in PRL (Phys. Rev. Lett. 86 (23), 5393 (2001), also quant-ph/0101004). The authors claim to have shown that using a quantum computer gives an "exponential advantage" for…

Quantum Physics · Physics 2007-05-23 Christof Zalka

This article aims at clarifying the language and practice of scientific experiment, mainly by hooking observability on calculability.

Artificial Intelligence · Computer Science 2007-05-23 Pierre Albarede

Generative AI systems have entered everyday academic, professional, and personal life with remarkable speed, yet most users encounter them as mysterious artifacts rather than intelligible systems. This chapter discusses large language…

Computers and Society · Computer Science 2026-04-21 John T. Behrens

This is a brief review of the experimental and theoretical quantum computing. The hopes for eventually building a useful quantum computer rely entirely on the so-called "threshold theorem". In turn, this theorem is based on a number of…

Quantum Physics · Physics 2013-06-10 M. I. Dyakonov

In this master's thesis, we introduce expansion systems as a general framework to describe a large variety of approximation algorithms, such as Taylor approximation, decimal expansion and continued fraction. We consider some basic…

Classical Analysis and ODEs · Mathematics 2012-06-05 V. A. Pessers

Probabilistic classifiers output a probability distribution on target classes rather than just a class prediction. Besides providing a clear separation of prediction and decision making, the main advantage of probabilistic models is their…

Machine Learning · Computer Science 2019-02-20 Juozas Vaicenavicius , David Widmann , Carl Andersson , Fredrik Lindsten , Jacob Roll , Thomas B. Schön

In this article, we study rates of convergence of the generalization error of multi-class margin classifiers. In particular, we develop an upper bound theory quantifying the generalization error of various large margin classifiers. The…

Statistics Theory · Mathematics 2011-11-10 Xiaotong Shen , Lifeng Wang

The material of this work is aimed at mathematics educators, as well as math specialists with a keen interest in progressions. In this paper, we study the subject of arithmetic, geometric, mixed, and harmonic progressions or sequences. Some…

General Mathematics · Mathematics 2009-04-27 Konstantine Zelator
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